Name: tinygrad Version: 0.7.0 Release: 1%{?dist} Summary: You like pytorch? You like micrograd? You love tinygrad! License: MIT URL: https://github.com/tinygrad/tinygrad Source0: %{url}/archive/v%{version}/%{name}-%{version}.tar.gz BuildRequires: python3-devel # Needed for test BuildRequires: python3dist(pytest) BuildArch: noarch %global common_description %{expand: tinygrad: For something between PyTorch and karpathy/micrograd. Maintained by tiny corp. This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.} %description %{common_description} %prep %autosetup %generate_buildrequires %pyproject_buildrequires %build %pyproject_wheel %install %pyproject_install %pyproject_save_files tinygrad %check # Run CPU tests that do not need dependencies not in Fedora # Modified from # https://github.com/tinygrad/tinygrad/blob/master/.github/workflows/test.yml %global test_list test_allocators.py test_assign.py test_conv.py test_conv_shapetracker.py test_gc.py test_helpers.py test_jit.py test_lazybuffer.py test_linearizer.py test_specific_conv.py test_symbolic_jit.py test_symbolic_ops.py test_symbolic_shapetracker.py test_uops.py for test_prog in %{test_list} do %python3 -m pytest test/$test_prog done %files -f %{pyproject_files} %doc docs/quickstart.md %doc docs/env_vars.md %doc docs/abstractions.py %changelog * Mon Oct 02 2023 Benson Muite - 0.7.0-1 - Initial package